Datadog vs Papertrail: What are the differences?
Datadog: Unify logs, metrics, and traces from across your distributed infrastructure. Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!; Papertrail: Hosted log management for servers, apps, and cloud services. Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.
Datadog belongs to "Performance Monitoring" category of the tech stack, while Papertrail can be primarily classified under "Log Management".
Some of the features offered by Datadog are:
- 14-day Free Trial for an unlimited number of hosts
- 200+ turn-key integrations for data aggregation
- Clean graphs of StatsD and other integrations
On the other hand, Papertrail provides the following key features:
- Intuitive Web-based log viewer
- Powerful command-line tools
- Long-term archive (S3)
"Monitoring for many apps (databases, web servers, etc)" is the top reason why over 118 developers like Datadog, while over 85 developers mention "Log search" as the leading cause for choosing Papertrail.
Airbnb, Facebook, and Spotify are some of the popular companies that use Datadog, whereas Papertrail is used by Instacart, StackShare, and Product Hunt. Datadog has a broader approval, being mentioned in 540 company stacks & 223 developers stacks; compared to Papertrail, which is listed in 243 company stacks and 47 developer stacks.
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